Kirchoff_Matlab

The most ofICI avoidance algorithms divide UEs into cell edge and cell centre users based on static thresholds such as path loss, SINR and geometry factors. However, in an actual communication environment, the UE distribution as well as the shape of a cell can be changed. Therefore selection of the cell edge bands is difficult and needs to be optimized according to the time variation environment. Reference [6] proposed an ICI avoidance algorithm that can change cell edge bands dynamically. For each active UE and every time gap (the update duration of CEU/CCU), the threshold is updated based on SINR in order to keep the ratio of number of CEUs and CCUs constant. Then, cell weight is calculated to follow the instant changing of network.

很不错的关于计算分形维的matlab代码(Very good on the calculation of the fractal dimension of the matlab code)

对噪声信号中的正弦信号，通过Pisarenko谐波分解方法、Music算法和Esprit算法进行频率估计，信号源是： 其中， ， ， ； 是高斯白噪声，方差为 。使用128个数据样本进行估计。 1、用三种算法进行频率估计，独立运行20次，记录各个方法的估计值，计算均值和方差； 2、增加噪声功率，观察和分析各种方法的性能。(Sinusoidal signal in the noise signal through the Pisarenko harmonic decomposition method, Music algorithms and Esprit frequency estimation algorithm, the signal source is: where,,, a Gaussian white noise, variance. 128 data samples used to estimate. 1, with three kinds of frequency estimation algorithm, run independently 20 times, record the estimated value of each method to calculate the mean and variance 2, the increase in noise power, observation and analysis of the performance of various methods.)

radar jammer in matlab

通过MATLAB实现图像分割otsuf(Implementation of image segmentation otsuf source code in MATLAB)

《数字信号处理：基于计算机的方法（第三版）》资源下载第三部分。 著者： （美）米特拉著 作译者： 孙洪等译 ISBN号： 7-121-02652-X 出版日期： 2006-06 出版社：电子工业出版社 这是本书的精华部分，内有书中从第二章（chap02）到第十一章(chap11)的程序源代码。加上之前本上上传的DEMO文件，对语音，图片，视频信号的数字处理有更好的理解。()

复信号情况的基于信号先验特性函数的欠定盲分离(Blind Identification of Underdetermined Mixtures Based on the Characteristic Function The Complex Case)

求取系统特征模态,以及参数辨识使用。采用扩展的prony算法。(eigen value dentification)

这是对线性调频信号的MATLAB仿真代码及代码跑出后的图，绝对真实无差错(Emulation of LFM signal)

Un ejemplo de aplicacion de inteligencia de particulas con red multicuadratica si se utiliza por favor comentarme para crecer nuestros conocimientos